Reference

Limits

What Databaas does not do today and the boundaries to plan around.

Pipeline visibility is all or nothing

Pipeline access is fleet-wide: open Pipelines and you see every pipeline in the deployment, or none. There is no per-pipeline or per-team scope.

Dashboards is a door, not a filter

Everyone who can open Superset sees the same charts, dashboards and datasets; only which queries return rows differs, decided by data grants, so a chart on data you have no grant for errors. See how access works.

The catalog preview is a sample, not a query

The Preview tab shows about the first 20 rows from a table’s current snapshot, so it cannot filter, join or aggregate and never shows the whole table. To read for real, use a notebook or SQL Lab. See table details.

Generic tables have no preview or schema

A non-Iceberg table has no snapshots, so it shows no preview and no schema — only its format, location and permissions. See Iceberg tables.

A notebook scan uses session memory

A notebook scan loads everything it reads into session memory, so an unbounded scan of a large table exhausts the session. Narrow it — pick columns, filter rows, cap the size — or run it in SQL Lab, where Trino returns only the result. See querying data.

Your notebook home is not backed up

Your home persists across restarts but is not backed up, and /tmp is cleared each start. Treat the git remote as source of truth and push often. See notebook storage and working with Git.

Sign-ins expire

A sign-in and its query token have a limited lifetime, so a long or idle session ages out and queries stop authenticating. Sign in again — in a notebook, re-call load_user_catalog() first, then sign out of Notebooks and back in if that isn’t enough.